Preprocessed Sea Level Data at Sebesidoi:10.34820/FK2/Q7HHOATelkom University Dataverse2022-04-211Adytia, Didit, 2022, "Preprocessed Sea Level Data at Sebesi", https://doi.org/10.34820/FK2/Q7HHOA, Telkom University Dataverse, V1, UNF:6:5XOvg662wsF2WFSRxu1rcw== [fileUNF]Preprocessed Sea Level Data at Sebesidoi:10.34820/FK2/Q7HHOAAdytia, DiditTelkom University DataverseAdytia, DiditAdytia, Didit2022-04-21Earth and Environmental Sciencessea level, tidalThe following is preprocessed sea level data at Sebesi. The preprocessed data is obtained by resampling the original data to be 1 hourly data, and interpolating empty data by using spline interpolation.CC0 Waiver10.24843/LKJITI.2021.v12.i03.p01Ramadhan, A. W., Adytia, D., Saepudin, D., Husrin, S., & Adiwijaya, A. (2021). Forecasting of Sea Level Time Series using RNN and LSTM Case Study in Sunda Strait. Lontar Komputer: Jurnal Ilmiah Teknologi Informasi, 12(3), 130-140.SeaLevelData_Sebesi_Hourly.tab32932text/tab-separated-valuesUNF:6:HeL68gxaEDhuw0GTrL4d0Q==SeaLevelData_Sebesi_Interpolated.tab25662text/tab-separated-valuesUNF:6:hWiMHBigq7IEfIXgCucqYA==Time(UTC)UNF:6:xcGk5eFqTx8lc6SYv6bgWg==Lev RAD (m)0.23514285714285718121.00.29088562092931290.92179160266257053172.00.93697085788876241.9813999999999996.UNF:6:sUV5XJVAQNimQHz/Gf9UFg==Time(UTC)UNF:6:cBuuzlG6bEAq7wQEEBqyJw==Lev RAD (m)0.218499999999999970.957270627259405.0.292090046715827561.98210000000000020.02566.00.9402484852179496UNF:6:BG8hShLuSZ8c0iwESRssew==